Abstract: In recent years, the semantic segmentation of multimodal remote-sensing images using convolutional methods has received significant attention. Owing to the localized nature of convolutional ...
Understand and build embedding models, focusing on word and sentence embeddings, dual encoder architectures. Learn to train embedding models using contrastive loss, implement them in semantic search ...
Most learning-based speech enhancement pipelines depend on paired clean–noisy recordings, which are expensive or impossible to collect at scale in real-world conditions. Unsupervised routes like ...
BRANSON, Mo.—Link Electronics has unveiled the Gemini Dual Caption Encoder, a next-generation captioning solution for broadcasters and institutions. By enabling two caption encoders to connect through ...
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Kepler robot demonstrates balancing ability
The Kepler robot is equipped with self-developed planetary roller screw actuators that use dual encoders and force sensors to achieve precise and smooth control. This enhances the dynamic and static ...
Hierarchical Imitation Learning (HIL) addresses long-horizon decision-making by breaking tasks into sub-goals, but it faces challenges like limited supervisory labels and the need for extensive expert ...
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